F
Fundamental
AI · San Francisco, United States · Founded 2024
AI-powered predictive intelligence from large tabular enterprise data MoreLess
Fundamental is an AI company developing predictive intelligence for enterprise data. The firm was established in October 2024 by alumni from DeepMind, with Jeremy Fraenkel as the CEO and co-founder. Emerging from stealth on February 5, 2026, the company announced it had secured $255 million in funding, consisting of a $30 million Seed round and a $225 million Series A round. The Series A was led by Oak HC/FT, with participation from Valor Equity Partners, Battery Ventures, Salesforce Ventures, and Hetz Ventures.
The company's core product is NEXUS, a Large Tabular Model (LTM) purpose-built to analyze structured business data found in spreadsheets, databases, and CRM records. Unlike Large Language Models (LLMs) that focus on unstructured text and images, NEXUS is designed to derive insights from the billions of tables that underpin corporate decision-making. The model ingests raw tabular data and automatically learns underlying patterns and dependencies without requiring extensive manual feature engineering. This allows enterprises to move beyond historical analysis to forecast future events, identify risks, and uncover opportunities. NEXUS unifies various analytics tasks, including forecasting, classification, anomaly detection, and scenario simulation, into a single foundation model.
Fundamental targets enterprise clients across numerous verticals, including financial services, healthcare, retail, and energy. Before its public launch, the company had already secured seven-figure contracts with Fortune 100 companies for use cases such as demand forecasting, price prediction, and churn analysis. The business model centers on providing access to NEXUS, which is available to enterprises and can be deployed directly through the AWS dashboard via a strategic partnership. The model is built to handle enterprise-scale datasets with billions of rows and was trained on Amazon SageMaker HyperPod.
Keywords: Large Tabular Model, LTM, enterprise AI, structured data, predictive intelligence, data forecasting, tabular data analysis, DeepMind alumni, NEXUS AI, business decision automation, churn analysis, demand forecasting, price prediction, financial fraud detection, risk prediction, enterprise software, data analytics
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